Diagnosis
AI recommendations that name the exact root cause
Titansama builds a live topology of your services, then walks it the moment something breaks — not just to raise an alert, but to point at the one node that started it, with the evidence attached.
Live service topology
A continuously-updated dependency graph, not a diagram someone drew once and forgot to update.
Root cause, not just a symptom
Titansama walks the graph backward from the failure to the node that actually caused it, ranking causes by confidence.
Evidence attached, every time
Every diagnosis ships with the logs, events, and deploy history that back it up — so engineers can verify, not just trust.
MTTR measured in minutes
Because root cause is already identified by the time an engineer opens the page, resolution starts immediately.
Service topology — payments path
payments-api
→
checkout-svc
→
order-gateway
→
web-frontend
AI diagnosis
93% confidence
Root causeMemory exhaustion in payments-api
Evidence4× OOMKilled events, all within 6 minutes of deploy #4821
Cascadecheckout-svc and order-gateway degraded as retries piled up downstream
RecommendationRaise memory limit 512Mi → 1Gi, or roll back deploy #4821
45m
Typical MTTR
→
3m40s
With Titansama
Stop reading dashboards.
Start reading conclusions.
Titansama is in guided rollout with a limited set of platform teams.